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Diabetic Retinal Grading Using Attention-Based Bilinear Convolutional Neural Network and Complement Cross Entropy

Pingping Liu, Xiaokang Yang, Baixin Jin, Qiuzhan Zhou
2021 Entropy  
We propose a new non-homologous bilinear pooling convolutional neural network model and combine it with the attention mechanism to further improve the network's ability to extract specific features of  ...  With the rapid development of convolutional neural networks in the field of image processing, deep learning methods have achieved great success in the field of medical image processing.  ...  The balanced complement entropy loss function is used to match the scale between cross entropy and complementary entropy.  ... 
doi:10.3390/e23070816 fatcat:w4j42gnytvcuxgmhbm3xhexppe

Transformers in Medical Imaging: A Survey [article]

Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu
to reconsider the supremacy of convolutional neural networks (CNNs) as {de facto} operators.  ...  Specifically, we survey the use of Transformers in medical image segmentation, detection, classification, reconstruction, synthesis, registration, clinical report generation, and other tasks.  ...  [248] propose a hybrid model to diagnose acute lymphocytic leukemia by using symmetric cross-entropy loss function. Interpretable Models.  ... 
doi:10.48550/arxiv.2201.09873 fatcat:oytqio43mvg67jktiy4vewqlvy

Harmonic Analysis and Machine Learning [article]

Michael Pekala
, and new empirical studies of biomedical applications of neural networks.  ...  This dissertation considers data representations that lie at the interesection of harmonic analysis and neural networks.  ...  We use the typical cross-entropy loss for J and stochastic gradient descent to minimize (3.5) (i.e. f (x + r) = f (x)). each image.  ... 
doi:10.13016/jz7j-erqc fatcat:osromp2fmvgnbedgiqwk6jzc64

Semantic Segmentation of Ambiguous Images

Simon Andreas Alexander Kohl
A cross-entropy loss penalizes differences between S and Y (the cross-entropy loss arises from treating the output S as the parameterization of a pixel-wise categorical distribution P c ).  ...  Despite this, current semantic segmentation models are almost exclusively framed and trained in a deterministic fashion using the Cross Entropy (CE)-loss.  ...  Targeted MR Imaging/TRUS-Fusion Biopsies All men underwent transperineal grid-directed biopsy performed under general anesthesia with rigid software registration using BiopSee (MEDCOM, Darmstadt, Germany  ... 
doi:10.5445/ir/1000118113 fatcat:ey6bbnzdgngl7lpumxgyn337le